[Screening value and correlation of body measurement indices for metabolic syndrome in the population undergoing physical examinations in Chengdu during 2018-2020].

OBJECTIVE:To investigate the screening value and correlation of body measurement indicators for metabolic syndrome(MS) and to provide evidence for MS screening. METHODS:Through a cross-sectional research approach, data from individuals aged 18 and above who participated in health examinations at the North Health Management Center of Sichuan Provincial People's Hospital from 2018 to 2020 were reviewed. Data including height, weight, waist circumference, hip circumference, systolic blood pressure, diastolic blood pressure, fasting plasma glucose, triglycerides, total cholesterol, high-density lipoprotein cholesterol, low-density lipoprotein cholesterol, smoking history, and alcohol consumption history were collected. Subsequently, a body shape index(ABSI), body roundness index(BRI), body adiposity index(BAI), abdominal volume index(AVI), relative fat mass index(RFM), and body mass index(BMI) were computed. The individuals were then divided into MS and non-MS groups. The value of body measurement indices in screening for MS in the population aged 18 and above was assessed using ROC curves. Regression analysis was employed to explore the correlation between body measurement indices and MS. RESULTS:A total of 73 411 valid health examination data were obtained, including 44 426 males and 28 985 females. The MS group comprised 9181 males(21%) and 1668 females(6%). In the comparison between the MS and non-MS groups, there were statistically significant differences in ABSI((0.08±0.00) vs. (0.08±0.00)), BRI((4.95±0.67) vs. (4.17±0.68)), BAI((28.08±3.52) vs. (26.39±3.39)), AVI((17.51±2.77) vs. (12.85±2.91)), BMI((27.15±2.99) vs. (23.00±3.04)) and RFM((29.77±5.35) vs. (27.13±6.39))(P<0.05). Univariate Logistic regression analysis showed that ABSI(OR=2.303, 95%CI 1.190-4.457), BRI(OR=4.596, 95%CI 4.446-4.752), BAI(OR=1.144, 95%CI 1.137-1.151), AVI(OR=1.668, 95%CI 1.652-1.684), RFM(OR=1.067, 95%CI 1.064-1.071) and BMI(OR=1.516, 95%CI 1.503-1.528) were associated with MS(P<0.05). Multifactorial Logistic regression analysis corrected for sex, age, smoking and alcohol consumption showed that ABSI(OR=1.767, 95% CI 4.237-7.371), BRI(OR=5.441, 95% CI 5.228-5.663), BAI(OR=1.269, 95% CI 1.260-1.279), AVI(OR=1.648, 95% CI 1.631-1.665), RFM(OR=1.504, 95% CI 1.491-1.517) and BMI(OR=1.508, 95% CI 1.495-1.522) were associated with MS(P<0.05). The ROC curve analysis showed that in adults, the AVI had the highest screening value for MS in males(AUC=0.855, optimal cutoff value=16.18), followed by RFM(AUC=0.844, optimal cutoff value=25.71), BMI(AUC=0.811, optimal cutoff value=25.21), BRI(AUC=0.793, optimal cutoff value=4.39), BAI(AUC=0.709, optimal cutoff value=25.88), and ABSI(AUC=0.671, optimal cutoff value=0.08). In adult females, the RFM had the highest screening value for MS(AUC=0.918, optimal cutoff value=37.01), followed by AVI(AUC=0.911, optimal cutoff value=13.43), BRI(AUC=0.901, optimal cutoff value=4.71), BMI(AUC=0.860, optimal cutoff value=23.94), ABSI(AUC=0.804, optimal cutoff value=0.08), and BAI(AUC=0.797, optimal cutoff value=29.92). CONCLUSION:ABSI, BRI, BAI, AVI, BMI and RFM are all capable of screening for MS. Among males, AVI has the highest screening value for MS, followed by RFM, BMI, BRI, BAI and ABSI. Among females, RFM has the highest screening value for MS, followed by AVI, BRI, BMI, ABSI and BAI. ABSI, BRI, BAI, AVI, RFM and BMI are positively correlated with MS.